{"id":"W2140559372","doi":"10.1002/hec.1378","title":"Physician labour supply in Canada: a cohort analysis","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council; University of British Columbia; Canadian Medical Association; McMaster University","keywords":"Medicine; Cohort; Demography; Secular variation; Cohort effect; Graduation (instrument); Cohort study; Work hours; Family medicine; Working hours; Internal medicine; Labour economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005471706,0.0001583021,0.0007898834,0.0004669807,0.0001457548,0.00001473056,0.0002061868,0.00005022157,0.0001450822],"category_scores_gemma":[0.0000196196,0.0002205924,0.0001030254,0.000558343,0.00002467635,0.0001276346,0.00004824854,0.0001719531,0.0001895321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284538,"about_ca_system_score_gemma":0.001430356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910665,"about_ca_topic_score_gemma":0.9895024,"domain_scores_codex":[0.9977744,0.00002767972,0.001052529,0.0004697627,0.00002338317,0.0006522469],"domain_scores_gemma":[0.9988641,0.00003821798,0.0004119705,0.000420795,0.00001263661,0.0002523269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005765842,0.00003876532,0.804089,0.00005101361,0.0001353791,0.000007772742,0.00030461,0.001821029,9.154944e-9,0.1898622,0.002254298,0.001430094],"study_design_scores_gemma":[0.0002653495,0.00001950453,0.7918962,0.000003789933,0.000004222237,0.000001392836,0.00007585053,0.004365489,7.116898e-7,0.001963951,0.201217,0.0001865513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966152,0.001090651,0.0001604284,0.02141068,0.0003546122,0.0004441619,0.000552356,0.00002310925,0.009811987],"genre_scores_gemma":[0.9732339,0.00412488,0.0002157621,0.02167763,0.0001015669,0.00005745691,0.00005355688,0.00002086498,0.0005144084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1989627,"threshold_uncertainty_score":0.8995498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388580377671868,"score_gpt":0.2434843058197449,"score_spread":0.1995985020430263,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}